Data Analyst (Onsite, Lahore, PKR Salary)

HR POD Careers


Date: 3 weeks ago
City: Lahore
Contract type: Full time
Requirements:

  • 2+ years of experience in Data Analysis, Business Intelligence, or related roles.
  • Strong command of SQL, including joins, aggregations, filtering, and Common Table Expressions (CTEs).
  • Hands-on experience with dashboarding and BI tools such as Metabase, Tableau, Looker, or Power BI.
  • Excellent analytical thinking and problem-solving skills.
  • Ability to interpret complex data and translate insights into actionable business recommendations.
  • Strong communication and presentation skills with the ability to explain findings to stakeholders.
  • Highly detail-oriented with strong organizational and time management abilities.
  • Comfortable working in a fast-paced and dynamic environment.
  • Familiarity with Python or R for data analysis and automation.
  • Experience working with Databricks or other cloud-based data platforms.
  • Exposure to healthcare or SaaS-related datasets is preferred.
  • Understanding of A/B testing methodologies and statistical analysis concepts.
  • Basic understanding of machine learning concepts and predictive analytics.


Responsibilities:

  • Analyze large datasets to identify trends, patterns, anomalies, and business opportunities.
  • Write efficient SQL queries to extract, manipulate, and analyze data.
  • Develop dashboards, reports, and visualizations for business and operational stakeholders.
  • Track KPIs and provide actionable insights and recommendations based on data findings.
  • Collaborate with product, operations, and leadership teams to understand reporting and analytics requirements.
  • Clean, validate, and prepare data to ensure accuracy and reliability in reporting.
  • Present insights in a clear, concise, and easy-to-understand manner for non-technical audiences.
  • Ensure consistency, accuracy, and quality across reports and dashboards.
  • Maintain proper documentation for metrics, reports, dashboards, and data processes.
  • Contribute to building and promoting a strong data-driven culture within the organization.

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